Instructions to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6: direct link, hf CLI and curl.
- Browser
- Download file 253 kB
-
https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/f0c353b39c75e736c31933207bf0c37cbbe1a3da/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6@f0c353b39c75e736c31933207bf0c37cbbe1a3da/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/f0c353b39c75e736c31933207bf0c37cbbe1a3da/last-checkpoint/optimizer.pt
253 kB
- Xet hash:
- af9b2f12a11b14106e8d98d553e3aa34b78e87b99aadd1230237b07d532a28aa
- Size of remote file:
- 253 kB
- SHA256:
- 1100bc5533586cbee92daf725bc6ad21aa27c71ac739b07500c31241e5bc9f15
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